Triple

T15876040
Position Surface form Disambiguated ID Type / Status
Subject Khosrow and Shirin E384955 entity
Predicate mainCharacter P1183 FINISHED
Object Farhad
Farhad is a legendary tragic lover and sculptor in Persian literature, best known for his unrequited love and heroic labors in the romance of Khosrow and Shirin.
 E1181021 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Farhad | Statement: [Khosrow and Shirin, mainCharacter, Farhad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Farhad
Context triple: [Khosrow and Shirin, mainCharacter, Farhad]
  • A. Fereydun
    Fereydun is a legendary hero and king in Persian mythology, best known from the Shahnameh for overthrowing the tyrant Zahhak and ushering in a just reign.
  • B. Malek
    Malek is a given name and surname of Arabic origin commonly used across the Middle East and other Muslim-majority regions.
  • C. Behram
    Behram is an alternative name for the ancient Greek city of Assos, a historic coastal settlement in present-day Turkey known for its classical ruins and scenic Aegean setting.
  • D. Rustam
    Rustam is a town and administrative settlement located within the Mardan District of Khyber Pakhtunkhwa, Pakistan.
  • E. Dinarzad
    Dinarzad is a character in The Arabian Nights, known as Shahrazad’s younger sister who prompts her to tell stories each night to the king.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Farhad
Triple: [Khosrow and Shirin, mainCharacter, Farhad]
Generated description
Farhad is a legendary tragic lover and sculptor in Persian literature, best known for his unrequited love and heroic labors in the romance of Khosrow and Shirin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Farhad
Target entity description: Farhad is a legendary tragic lover and sculptor in Persian literature, best known for his unrequited love and heroic labors in the romance of Khosrow and Shirin.
  • A. Fereydun
    Fereydun is a legendary hero and king in Persian mythology, best known from the Shahnameh for overthrowing the tyrant Zahhak and ushering in a just reign.
  • B. Malek
    Malek is a given name and surname of Arabic origin commonly used across the Middle East and other Muslim-majority regions.
  • C. Behram
    Behram is an alternative name for the ancient Greek city of Assos, a historic coastal settlement in present-day Turkey known for its classical ruins and scenic Aegean setting.
  • D. Rustam
    Rustam is a town and administrative settlement located within the Mardan District of Khyber Pakhtunkhwa, Pakistan.
  • E. Dinarzad
    Dinarzad is a character in The Arabian Nights, known as Shahrazad’s younger sister who prompts her to tell stories each night to the king.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155fdc1b881909d1c82c4c66a195a completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa94e9b548190bec74e6d9790d241 completed May 9, 2026, 9:38 p.m.
NEDg Description generation batch_69ffaa07df788190bae67f3d9a800331 completed May 9, 2026, 9:41 p.m.
NED2 Entity disambiguation (via description) batch_69ffaaa92a648190a09829ef3197223c completed May 9, 2026, 9:44 p.m.
Created at: April 10, 2026, 4:51 a.m.